Muhammad Fajar Dwi Setyoko, Muhamad Alief Firmansyah Putra, Muhammad Asghar Nazal, Remuz MB Kmurawak
{"title":"Application of blockchain technology in decentralized medical data security and privacy systems","authors":"Muhammad Fajar Dwi Setyoko, Muhamad Alief Firmansyah Putra, Muhammad Asghar Nazal, Remuz MB Kmurawak","doi":"10.37373/tekno.v11i1.649","DOIUrl":"https://doi.org/10.37373/tekno.v11i1.649","url":null,"abstract":"In a time when both the quantity and number of medical records are growing, protecting medical information has taken on particular significance. Medical data security and privacy are still compromised by the current system, which leaves room for manipulation and data leaks. Prior research has suggested techniques to safeguard medical data using encrypted algorithms like Blowfish and Vigenere. Nonetheless, this study suggests blockchain technology as a remedy for medical data security and decentralized data protection solutions this work, we implement decentralized data protection and medical information security using smart contracts. Smart contracts are blockchain-encoded agreements that, under specific circumstances, guarantee the contract's execution. In medical information management, smart contracts are used to control how patients, physicians, and healthcare organizations may utilize information. By doing this, patients can consent to the secure and encrypted use of their medical data, guaranteeing that only individuals with the proper authorization can access the information. In this work, we leverage smart contracts and blockchain technology to enhance the security of medical data stored in hospitals or outpatient clinics. The study's findings demonstrate that the data held in blockchains is distributed among several nodes, making them resistant to malware attacks and making the technology hard to alter","PeriodicalId":518434,"journal":{"name":"TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika","volume":"40 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of employee's work stress as an intervening variable on employee performance effect of PT. UTB uses path analysis method","authors":"Denis Firda Khoiriyah, Muhamad Imron Zamzani, Mochamad Sulaiman","doi":"10.37373/tekno.v11i1.439","DOIUrl":"https://doi.org/10.37373/tekno.v11i1.439","url":null,"abstract":"The use of human resources is crucial to every business and organizational activity. Companies have a variety of options for enhancing the quality of their human resources, including raising staff productivity. Employee performance is the work that they do, and the outcomes they produce are in line with the objectives of the business or organization. Employee performance is affected by a number of variables, including workload and job motivation. Additionally, job stress has an impact on how well employees perform. Because of an imbalance between workload and aptitude, someone experiences work stress. Based on this, this study seeks to ascertain the impact of workload and work motivation on employee performance as well as the impact of these factors on employee performance as it relates to work stress at PT.UTB. route analysis or route analysis is the research methodology employed. The extent of the independent factors' impact on the dependent variable through the intermediary variables can be seen using path analysis. The information was gathered from 39 respondents across 50 populations. The analysis's findings indicate that while work motivation has a direct, significant positive impact on employee performance, workload has a direct, significant negative impact. Employee performance is impacted by workload through employee work stress at a PT.UTB of 0.51 and by work motivation through employee work stress at a PT.UTB of 0.83","PeriodicalId":518434,"journal":{"name":"TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika","volume":"65 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Red Chili Classification Using HSV Feature Extraction and Naive Bayes Classifier","authors":"Hermawan Syahputra, Josua Nainggolan, Johanes Apriadi Parlinggoman Sirait, Muhammad Fadlan Ikromi, Putri Ameliya Lubis","doi":"10.37373/tekno.v11i1.593","DOIUrl":"https://doi.org/10.37373/tekno.v11i1.593","url":null,"abstract":"In the culinary industry, the classification of red chili pepper types is used to identify varieties that differ in terms of flavor, pungency, or other uniqueness. This enables their proper use in various recipes and meals. In the market, the classification of red chili pepper types helps in pricing, variety selection, or quality standards applied. For this reason, the purpose of this research is to classify red chili peppers using HSV Feature Extraction and Naive Bayes Clasifier. The stages carried out include: data collection, preprocessing, feature extraction and classification. Red chilies are grouped into 4 classes, namely large red chilies, cakplak red chilies, curly red chilies and chili red chilies. The red chili data used is 119 training data and 123 testing data. In the preprocessing, the image is converted to grayscale, then converted to binary image with the thresholding method. Furthermore, feature extraction is done with the HSV method. Finally, classification is done with Naive Bayes. The results of the study provide an accuracy value for training data of 92.43% and for testing data obtained an accuracy of 92.69%. This method is suitable for use in classification because it gives good results","PeriodicalId":518434,"journal":{"name":"TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika","volume":"59 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of naive Bayes and decision tree algorithms to assess the performance of Palembang City fire and Disaster management employees","authors":"Dewi Sartika, R. Gustriansyah","doi":"10.37373/tekno.v11i1.843","DOIUrl":"https://doi.org/10.37373/tekno.v11i1.843","url":null,"abstract":"The employee performance assessment at the Palembang City Fire and Disaster Management Service (DPKPB) is applied to other than the employee performance assessment implementation team based on the Decree of the Head of the Palembang City DPKPB Number 146 of 2021 concerning the employee performance assessment implementation team and awards for exemplary employees. Subjective assessments are avoided to obtain assessment results that are by the achievements of each employee. The application of data mining can be an alternative to avoid subjectivity in performance assessment. In this research, a comparison of the Naive Bayes and Decision Tree algorithms was carried out to assess the performance of Palembang City DPMPB employees. The results of further research will be used as an alternative solution in conducting performance assessments that are more objective than previous assessments. Both algorithms were evaluated for model performance using the Confusion Matrix. Based on the results of the evaluation carried out, it was stated that the Decision Tree algorithm had better accuracy, namely 91.74% compared to Naïve Bayes which had an accuracy of 88.99% with a test size of 0.4","PeriodicalId":518434,"journal":{"name":"TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika","volume":"483 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Siti Nur Azizah, Wisnu Adi Yulianto, Ch. Lilis Suryani
{"title":"Analysis of changes in bread during frozen storage with pre-cooking and steaming","authors":"Siti Nur Azizah, Wisnu Adi Yulianto, Ch. Lilis Suryani","doi":"10.37373/tekno.v11i1.685","DOIUrl":"https://doi.org/10.37373/tekno.v11i1.685","url":null,"abstract":"Frozen storage methods in bakery products have been widely applied to maintain quality and extend shelf life. Early cooking by steaming followed by frozen storage on bread is an effective way to slow down the spoilage process. The length of time frozen storage affects the physical, chemical, microstructure, thermal, and sensory reception properties. The purpose of this study is to evaluate the quality of bread by pre-cooking steaming during frozen storage and after re-cooking. The research was carried out with the storage time treatment factors, time of 0, 14, 28, 42, 56 and 70. Parameters analyzed in frozen bread include texture testing, volume expansion rate, moisture content, dissolved protein content and crumbs (SEM), thermal properties with Differential Scanning Calorimatry, as well as the level of preference. The result showed that the longer the frozen storage, the harder the texture, the level of volume development, the lower the water and dissolved protein content and the smaller the pores of the bread. Bread texture increased in hardness along with the lenght of frozen storage, namely 8.70 N increased to 17.44 N, while the water content decreased from 30.02% (w/w) to 26.70% (w/w). the highest soluble protein content was obtained on the 14th day which was 1.53% and the lowest was on the 70th day, which was 1.31%. The result of the SEM test showed that there was a reduction in the pore size of bread compared to on day 0. The results of DSC thermogram showed that the longer the frozen storage of bread with the initial cooking of steaming, the lower the gelatinization and enthalpy temperatures, and the smaller the pore size is small. Storage of frozen bread until day 56 resulted in bread quality that has nor changed and is still accepted by the panelists.","PeriodicalId":518434,"journal":{"name":"TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika","volume":"563 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140529066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of crack defects in the hanger welding area using the DMAIC method in the heavy equipment industry","authors":"Rahayu Budi Prahara, Nur Imam, Indra Setiawan","doi":"10.37373/tekno.v11i1.975","DOIUrl":"https://doi.org/10.37373/tekno.v11i1.975","url":null,"abstract":"Heavy Equipment Industry is a company operating in the mining heavy equipment industry. The Quality Control Department continues to strive to maintain and improve the quality of every product produced. During 2022 there were complaints from customers, where there were 7 complaints about hangers detaching from the frame. The hanger is a connecting component between the leaf spring and the chassis which functions as a support for the load. This has a very fatal impact because it is related to safety, unit function and unit productivity. The crack defect caused a repair process by re-welding the part of the hanger where the crack was present. The aim of this research is to reduce the defect rate in Hanger defects. The method used is DMAIC. Primary data and supporting data were collected through field observations to describe actual conditions before repairs. Based on the results of the analysis and improvements that have been carried out, it was found that creating work instructions for the process of attaching hangers to units can help manpower understand the process and work sequence in hanger fabrication. The proposal to add reinforcement check points to the hanger setting check sheet is hoped to be able to maintain the hanger without reinforcement entering the next process and increase supervision of the hanger welding quality.","PeriodicalId":518434,"journal":{"name":"TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}